Evidence map›Paper›PMID 30788084›Full record

ArticleJournal of extracellular vesicles2019

Differences in the metabolite composition and mechanical properties of extracellular vesicles secreted by hepatic cellular models.

Felix Royo, David Gil-Carton, Esperanza Gonzalez, Justyna Mleczko, Laura Palomo, Miriam Perez-Cormenzana, Rebeca Mayo, Cristina Alonso, Juan M Falcon-Perez

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Guideline
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  5. Force spectroscopy reveals membrane fluctuations and surface adhesion of extracellular nanovesicles impact their elastic behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  12. The expanding organelle lipidomes: current knowledge and challenges.Cellular and molecular life sciences : CMLS · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Felix RoyoExosomes Laboratory, CIC bioGUNE, Bizkaia Technology Park, Derio, Spain.
David Gil-CartonElectron Microscopy Technology Platform, CIC bioGUNE, Bizkaia Technology Park, Derio, Spain.
Esperanza GonzalezExosomes Laboratory, CIC bioGUNE, Bizkaia Technology Park, Derio, Spain.
Justyna MleczkoExosomes Laboratory, CIC bioGUNE, Bizkaia Technology Park, Derio, Spain.
Laura PalomoExosomes Laboratory, CIC bioGUNE, Bizkaia Technology Park, Derio, Spain.
Miriam Perez-CormenzanaOWL Metabolomics, Bizkaia Technology Park, Derio, Spain.
Rebeca MayoOWL Metabolomics, Bizkaia Technology Park, Derio, Spain.
Cristina AlonsoOWL Metabolomics, Bizkaia Technology Park, Derio, Spain.
Juan M Falcon-PerezExosomes Laboratory, CIC bioGUNE, Bizkaia Technology Park, Derio, Spain.
CIC bioGUNE · ESEuskadiko Parke Teknologikoa · ESCentro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas · ESIkerbasque · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver constitutes the major metabolic factory in the organism and is involved in the synthesis, secretion and clearance of many blood-circulating molecules. Previously, we have characterised the protein and RNA cargo of extracellular vesicles (EVs) secreted by two hepatic cellular models, a mouse hepatocyte progenitor cell line (MLP29) and primary rat hepatocytes (RHs). Here, we report the metabolome profile of these vesicles by performing a targeted UHPLC-MS metabolomics analysis of these two cellular models and their respective secreted EVs. Visual inspection of the data through principal component analysis allows clear separation of the metabolic profile of cells and EVs, and also of both cellular models. Correlation matrix supported that lipid composition of EVs is mainly determined by parent cell composition. EVs derived from MLP29 and RHs showed a negative correlation in their percentage composition of ceramides, glycerophospholipids, sphingomyelins and triglycerides. Metabolites enriched in EVs were also different depending on the cellular model. EVs secreted by MLP29 were enriched in different species of sphingomyelins and ceramides underrepresented in EVs secreted by RHs. Remarkably, triglycerides constitute an important percentage of the composition of EVs derived from RHs. We further investigate if the differences in lipid composition were also accompanied by differences in mechanical behaviour, by using atomic force microscopy complemented with nanoindentation-based methodology. To compare the stiffness and brittleness of EVs derived from MLP29 cell line and RH primary cells, FZ curves were performed in the centre of single vesicles and the differences found in their force-

Indexed as

AFMExtracellular vesicleshepatocytesmetabolomicsMLP29UHPLC-MS

Identifiers

PMID30788084
PMCPMC6374943
OpenAlexW2911804218

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.